The use of computer vision algorithms for automatic orientation of terrestrial laser scanning data

Jakub Markiewicz

Abstract

The paper presents analysis of the orientation of terrestrial laser scanning (TLS) data. In the proposed data processing methodology, point clouds are considered as panoramic images enriched by the depth map. Computer vision (CV) algorithms are used for orientation, which are applied for testing the correctness of the detection of tie points and time of computations, and for assessing difficulties in their implementation. The BRISK, FASRT, MSER, SIFT, SURF, ASIFT and CenSurE algorithms are used to search for key-points. The source data are point clouds acquired using a Z+F 5006h terrestrial laser scanner on the ruins of Iłża Castle, Poland. Algorithms allowing combination of the photogrammetric and CV approaches are also presented.
Author Jakub Markiewicz ZFTSIP
Jakub Markiewicz,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
Journal seriesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 [2194-9034]
Issue year2016
VolXLI-B3
Pages315-322
Publication size in sheets0.5
ConferenceXXIII International Society for Photogrammetry and Remote Sensing Congress (XXIII ISPRS Congress), 12-07-2016 - 19-07-2016, Prague, Czechy
Keywords in EnglishFeature Extraction, Scan Registration, Computer Vision, analysis of image matching algorithms, TLS
DOIDOI:10.5194/isprsarchives-XLI-B3-315-2016
URL http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/315/2016/
Internal identifier30/2016
Languageen angielski
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2016_Oświadczenie_Markiewicz_The_use_of_computer_vision_30.pdf (file archived - login or check accessibility on faculty) 2016_Oświadczenie_Markiewicz_The_use_of_computer_vision_30.pdf 422.08 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Ministerial score (2013-2016) = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
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